Comparison
adk-python vs agent-kernel
Verdict
Pick adk-python if adk-python provides tools for developing sophisticated AI agents with a focus on flexibility and control, particularly suited for multi-agent systems; pick agent-kernel if agent-kernel provides an operating system for scalable enterprise AI agents, supporting deployment and orchestration at scale with native integration support for MCP and A2A.
Markdown twin · adk-python alternatives · agent-kernel alternatives
GraphCanon updated 1d
vs
Trust & integrity
| Signal | adk-python | agent-kernel |
|---|---|---|
| Maintenance | Very active (0d since push) As of 1d · github_public_v1 | Very active (2d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1d · github_public_v1 | Not a fork · Organization account As of 1w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- adk-python
- A Python toolkit for building, evaluating, and deploying AI agents
- agent-kernel
- The Operating System for Scalable Enterprise AI Agents
Stars
- adk-python
- 21k
- agent-kernel
- 113
Forks
- adk-python
- 3.9k
- agent-kernel
- 60
Open issues
- adk-python
- 566
- agent-kernel
- 128
Language
- adk-python
- Python
- agent-kernel
- Python
Adopt for
- adk-python
- adk-python provides tools for developing sophisticated AI agents with a focus on flexibility and control, particularly suited for multi-agent systems.
- agent-kernel
- Agent-kernel provides an operating system for scalable enterprise AI agents, supporting deployment and orchestration at scale with native integration support for MCP and A2A.
Persona
- adk-python
- -
- agent-kernel
- -
Runtime
- adk-python
- -
- agent-kernel
- -
License
- adk-python
- adk-python is available under the Apache-2.0 license, allowing both commercial and non-commercial use with appropriate attribution.
- agent-kernel
- Apache-2.0
Last pushed
- adk-python
- Aug 18, 2026
- agent-kernel
- Aug 7, 2026
Categories
- adk-python
- AI Agents
- agent-kernel
- AI Agents
Trust and health
Days since push
- adk-python
- 0d
- agent-kernel
- 2d
Open issues (now)
- adk-python
- 566
- agent-kernel
- 128
Stars delta
- adk-python
- +522 (30d)
- agent-kernel
- Unknown
Open issues delta
- adk-python
- -76 (30d)
- agent-kernel
- Unknown
Full report
- adk-python
- Trust report
- agent-kernel
- Trust report
Choose adk-python if…
- Requirements: Requires Python 3.10+ for installation..
- Tags unique to adk-python: agent, agentic, ai-agents, multi-agent-systems.
- You are working on multi-agent systems where multiple AI agents need to collaborate or interact effectively. adk-python offers specific support for defining and orchestrating multi-agent workflows.
When NOT to use adk-python
- If your project does not involve multi-agent interactions or complex orchestration of multiple agents, other frameworks might offer more streamlined solutions.
- You prefer using out-of-the-box solutions with less coding complexity. adk-python's code-first approach is best suited for developers looking to deeply customize agent behavior and interactions.
Choose agent-kernel if…
- Requirements: It requires Python versions between 3.12 and 3.13.x.; Supports deployment to various environments such as AWS Lambda, ECS, Azure Functions, or Container Apps via one Terraform module..
- Tags unique to agent-kernel: a2a, adk, aws, azure.
- If you require seamless scalability across different cloud providers like AWS and Azure without lock-in or rewrites.
When NOT to use agent-kernel
- If your project is confined to a single, specific AI framework which doesn't require the flexibility Agent-kernel offers.
- When you do not have Python version 3.12 - 3.13.x, as it's the required runtime environment.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (google/adk-python) · observed Aug 19, 2026
- GitHub forks (google/adk-python) · observed Aug 19, 2026
- Last push (google/adk-python) · observed Aug 18, 2026
- License file (Apache-2.0) · observed Aug 19, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (yaalalabs/agent-kernel) · observed Aug 9, 2026
- GitHub forks (yaalalabs/agent-kernel) · observed Aug 9, 2026
- Last push (yaalalabs/agent-kernel) · observed Aug 7, 2026
- License file (Apache-2.0) · observed Aug 9, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: adk-python 21k · agent-kernel 113 (synced Aug 19, 2026).
Common questions
- What is the difference between adk-python and agent-kernel?
- adk-python: A Python toolkit for building, evaluating, and deploying AI agents. agent-kernel: The Operating System for Scalable Enterprise AI Agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose adk-python over agent-kernel?
- Choose adk-python over agent-kernel when Requirements: Requires Python 3.10+ for installation.; Tags unique to adk-python: agent, agentic, ai-agents, multi-agent-systems; You are working on multi-agent systems where multiple AI agents need to collaborate or interact effectively. adk-python offers specific support for defining and orchestrating multi-agent workflows.
- When should I choose agent-kernel over adk-python?
- Choose agent-kernel over adk-python when Requirements: It requires Python versions between 3.12 and 3.13.x.; Supports deployment to various environments such as AWS Lambda, ECS, Azure Functions, or Container Apps via one Terraform module.; Tags unique to agent-kernel: a2a, adk, aws, azure; If you require seamless scalability across different cloud providers like AWS and Azure without lock-in or rewrites.
- When should I avoid adk-python?
- If your project does not involve multi-agent interactions or complex orchestration of multiple agents, other frameworks might offer more streamlined solutions. You prefer using out-of-the-box solutions with less coding complexity. adk-python's code-first approach is best suited for developers looking to deeply customize agent behavior and interactions.
- When should I avoid agent-kernel?
- If your project is confined to a single, specific AI framework which doesn't require the flexibility Agent-kernel offers. When you do not have Python version 3.12 - 3.13.x, as it's the required runtime environment.
- Is adk-python or agent-kernel more popular on GitHub?
- adk-python has more GitHub stars (21,180 vs 113). Stars measure visibility, not whether either tool fits your constraints.
- Are adk-python and agent-kernel open source?
- Yes - both are open-source projects on GitHub (adk-python: Apache-2.0, agent-kernel: Apache-2.0).
- Where can I find alternatives to adk-python or agent-kernel?
- GraphCanon lists graph-backed alternatives at adk-python alternatives and agent-kernel alternatives (adk-python markdown twin, agent-kernel markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, adk-python or agent-kernel?
- adk-python: Very active. agent-kernel: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for adk-python and agent-kernel?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: adk-python trust report; agent-kernel trust report.